AI Developer at TeKnowledge

About the job

• Design and develop terminal agents to execute structured engineering tasks through shell commands, scripting, and API integrations.
• Develop, optimize, and maintain build systems (e.g., CMake, Ninja, Makefiles) focusing on performance profiling and enhancements.
• Automate CI/CD workflows using GitHub Actions, ensuring adherence to modern best practices and compatibility with tools such as act.
• Construct ETL pipelines for log ingestion, validation, partitioning, and reporting utilizing formats including JSONL, Parquet, CSV, and HTML.
• Implement online learning algorithms (e.g., Thompson Sampling, UCB) for decision-making agents operating in constrained environments.
• Deploy secure containerized services (e.g., private Docker registries) with comprehensive TLS and authentication mechanisms.
• Produce reproducible metrics and benchmarking reports (e.g., metrics.json) to compare baseline and optimized system performance.
• Collaborate with cross-functional teams to define task specifications and contribute to open-source initiatives modeled after Terminal Bench.